PROJECT 1 | GENERATIVE AI

project1_AI_image6

To visualize a modified design intent based on the case study chosen Smithsonian Institution, Washington, D.C. / Foster + Partners, Chat GPT - DALI was used. This Generative AI tool allowed a selected image to be modified based on prompts to achieve a desired image.

The following image of the Smithsonian Institution, Washington, D.C. / Foster + Partners was selected to be used in the Generative AI tool.

Smithsonian Institution_Wikimedia Foundation. (2024, January 24). Old patent office building. Wikipedia. httpsen.wikipedia.

The design intent is to transform the original undulating canopy surface with a diagonal grid into a polygonal canopy surface with a triangular grid. Following the original design that was influenced by the position of eight supporting columns. Chat GPT - DALI helped generate 6 images used as a reference to create a parametric model using Grasshopper and Rhino modeling. The generated images that were most successful in depicting the design intent were image project1_AI_image3 and project1_AI_image6 .

project1_AI_image1

Prompt inputted into Chat GPT - DALI:  make large glazing with triangular grid on a polygonal surface

project1_AI_image2

            Prompt inputted into Chat GPT - DALI:  make large glazing with triangular grid on a polygonal surface

project1_AI_image3

Prompt inputted into Chat GPT - DALI:  generate a triangular grid on the large glazing with angular surfaces

project1_AI_image4

Prompt inputted into Chat GPT - DALI:  generate multiple pyramid glazing with a triangular grid

project1_AI_image5

Prompt inputted into Chat GPT - DALI:  generate multiple pyramid glazing with a triangular grid

project1_AI_image6

Prompt inputted into Chat GPT - DALI:  generate a triangular grid over an origami glazing surface